Manufacturing
Accelerating Factory Launches and Optimizing Operations With Digital Twins and AI
EDAG
Objective
EDAG is a global engineering company specializing in the end-to-end planning, design, optimization, and realization of production plants. The company leveraged OpenUSD and NVIDIA Omniverse™ technologies to build an industrial digital twin platform that helps their customers take advantage of advanced simulation and AI to accelerate project management, optimize production layouts, train workers, and perform data-driven quality assurance.
Partner
EDAG Production Solutions
Use Case
Simulation/Modeling/Design
Products
NVIDIA Omniverse Enterprise
Key Takeaways
Streamlining Project Management With Unified Data and Real-Time Collaboration
Today’s factory projects often suffer costly delays and overruns because teams rely on fragmented planning tools, disconnected supplier data, and manual status tracking. EDAG helps manufacturers tackle these challenges with its digital twin platform— built with Universal Scene Description (OpenUSD) and NVIDIA Omniverse libraries.
By integrating data—including 3D CAD models, metadata, simulation results, and real-time production information—from a wide range of equipment and technology partners, the platform empowers manufacturers to build transparent and continuously updated digital twins of their production lines and factories.
Bringing engineering data into the EDAG platform is straightforward. A connector enables users to transfer key metadata via a simple, efficient, and scalable OpenUSD data pipeline that can reduce manual data integration by up to 50%. The platform’s support of seamless data integration enables EDAG customers to quickly create comprehensive digital twin environments that provide stakeholders and decision-makers with real-time access to facility and operations data, no matter where they are located.
Live dashboards allow project managers, engineers, and suppliers to monitor crucial KPIs, including project cost and schedule. A built-in AI assistant helps teams streamline status tracking and risk management by ensuring that all changes are instantly reflected in the digital twin.
These capabilities enable EDAG customers, including German automakers and those developing green technology factories in the USA, to achieve new levels of transparency, cost control, and speed to market, with some customers delivering projects up to three months ahead of schedule.
EDAG
EDAG’s digital twin platform—built on NVIDIA Omniverse technologies and OpenUSD—helps teams unify project and supplier data for real-time collaboration, simulate and validate layouts before any physical changes, and use AI-powered analytics on live production data to detect and fix quality issues faster.”
Jan Berner,
Head of Technology and Process, EDAG
EDAG
Optimizing Production With Simulation and Digital Twins
Designing and optimizing production lines is often slow and costly, especially for companies in the automotive and battery manufacturing industries who rely on physical prototypes, isolated planning tools, and rigid workflows.
With EDAG’s platform, companies in these industries bring their data together in a unified simulation environment. Their teams of engineers and process design experts can use these environments to work collaboratively with their suppliers to virtually create, test, and refine production layouts before making real-world changes.
One German automaker is leveraging the platform to transform production planning and enable continuous optimization. By connecting live production data to their digital twin platform, their teams can:
- Access real-time insights to rapidly iterate
- Test different scenarios
- Accelerate validation and adjustments to manufacturing processes
- Reduce reliance on physical models
This data-driven and simulation first approach has delivered measurable improvements in resource utilization, shortened development cycles, and resulted in significant cost savings.
EDAG
Accelerating Error Detection and Workforce Readiness with AI and VR
In complex production environments, manual error analysis can slow response times and lead to recurring issues. By unifying live production data in an AI-enabled digital twin, EDAG’s platform enables manufacturers to streamline quality control.
Operators interact with an intuitive interface to pinpoint defects, trace root causes, and follow step-by-step corrective actions—all in real time without stopping the production line. Technicians equipped with mobile devices can engage the platform to see the exact fault location and follow guided repair actions within the digital twin, leading to higher first-time fix rates, less scrap, and improved system availability.
Additionally, EDAG works with its customers to convert engineering and planning data into interactive VR training scenarios that enable teams to be trained and certified before equipment arrives. This is helping EDAG’s customers to accelerate onboarding and ensure consistent employee execution from day one across new and reconfigured lines.
EDAG
Image Description: EDAG’s digital twin platform flags an error for possible contamination or assembly residues, surfacing the root cause and suggesting the corrective action needed.
Unlocking Agile Factory Planning and Adaptive Production
Through its innovative use of OpenUSD, industrial AI, and digital twin technologies, EDAG’s digital twin platform is enabling planning and operations teams to optimize facility layouts, accelerate decisions and production readiness, improve quality, and accelerate workforce onboarding. These advanced simulation and AI capabilities are enabling manufacturers to increase agility, future proof their facilities, and transform every stage of factory planning and production.
To learn more about EDAG and their digital twin platform, check out their website.
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